Mellum2
AssessPlatforms
JetBrains' open 12B-parameter mixture-of-experts model for text and code.
Why it's here
Placed in Assess: 1 article(s) of evidence from 1 source(s), led by model releases, with 0 in the last 30 days. Confidence 24%. Low accumulated evidence, so it defaults conservatively pending more signal.
Evidence (1)
- 6Hugging Face Blog·6/1/2026model_releaseJetBrains introduces Mellum2, a 12B MoE model
JetBrains has released Mellum2, an open 12B-parameter mixture-of-experts model trained from scratch on natural language and code. It activates only 2.5B parameters per token, is designed for low-latency, high-throughput inference, and is released under the Apache 2.0 license. The company says it is suitable for routing, RAG, summarization, sub-agents, coding workflows, and private deployment.